摘要
[目的/意义]公安情报流程是公安情报理论研究领域的重要内容之一.然而,随着互联网技术的飞速发展,我国传统的情报主导警务模式面对大数据时代下的海量信息出现了明显的不适应性,使得我国网络空间安全受到潜在威胁.因此,对于传统公安情报流程的优化,提升数据安全治理能力的需求迫在眉睫.[方法/过程]大数据时代以大数据技术为指引,运用实证分析研究,在深入剖析我国传统情报主导警务模式应用难点的基础上,深入梳理并论证大数据时代下公安情报流程优化工作,提升数据安全治理水平.[结果/结论]运用大数据技术针对公安情报流程各环节,提出了优化途径和应用前景,以确保国家网络空间安全和社会稳定.
[Purpose/Significance]Public security information process is an important part of the research field of public security information theory.However,with the rapid development of Internet technology,our traditional intelligence-leading policing model faces massive information in the era of big data appearing obvious inadaptability,our network space security is under potential threat,so the traditional public security information process optimization to improve data security governance ability is imminent.[Method/Process]Guided by big data technology,this paper uses empirical analysis and research to deeply analyze the application difficulties of our traditional intelligence-led policing model in the era of big data,and further comb and demonstrate the optimization work of public security information flow in the era of big data,to improve the level of data security governance.[Results/Conclusion]The paper puts forward the optimization approach and application prospect of using big data technology for each link of public security information process to ensure the security of national cyberspace and social stability.
作者
王喆
Wang Zhe(People's Public Security University of China,Beijing 100038)
出处
《网络空间安全》
2023年第6期43-48,共6页
Cyberspace Security
关键词
公安情报
情报流程
优化
大数据
数据安全治理
public security intelligence
intelligence process
optimization
big data
data security governance
作者简介
王喆(1999-),男,汉族,河南郑州人,中国人民公安大学,在读硕士,主要研究方向和关注领域:公安情报和数据治理。
